Applications of artificial intelligence in the field of agriculture are as follows:

1. Improvement of crop products and quality.

AI can collect environmental data of crops, such as air humidity, temperature, soil quality, water content of roots, etc., and upload the data to the big data platform for artificial intelligence analysis, and based on the analysis results, adjust the environmental parameters needed for crop growth, control fertilizer, watering frequency, etc..

And can accumulate the data of previous years, through AI to learn the optimal production environment needed by crops, so as to improve the yield and quality of crops. In addition, by analyzing the shape of the plant's leaves, etc., it is possible to find out the state of health of the plant, so that measures can be taken to reduce the damage caused by pests and diseases.

2. The yield and quality of livestock can be improved.

For example, it can monitor the animal's exercise time, the nutrients in the food, etc., and through big data as well as AI learning, it can find the nutrition and exercise amount that is most favorable to the growth of the animal, so as to improve the quality of meat and nutrients of the livestock.

Based on AI technology, it is possible to collect information about the animal's health parameters, such as respiratory frequency, exercise speed, diet, etc., to find out if the animal is sick, so that losses can be reduced.

3. Increased capacity of agricultural equipment.

For example, based on AI technology, it can produce weeding machines, pesticide spraying machines, automatic harvesters, automatic pickers, milkers, etc. On the basis of traditional machines, agricultural machinery and equipment that incorporate AI capabilities will greatly improve efficiency, reduce human resources, and lower production costs.